Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E724B960235070ADA26B87C0E1303D3630FAB25BFD16C14CDAED1B79AF96DE579149A3 |
|
CONTENT
ssdeep
|
1536:khtZkVzN1PLnkXwdU5HJNKDkopwZmfelyu+z3AaUMP2RxvF1lGb8clcVTp860JMw:kQq86k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b8ce69b64666664 |
|
VISUAL
aHash
|
183c1c001c3c1800 |
|
VISUAL
dHash
|
f1716871f1686960 |
|
VISUAL
wHash
|
3c3c3c3c3d3c3c38 |
|
VISUAL
colorHash
|
30206008000 |
|
VISUAL
cropResistant
|
34352464b0b9b3af,f1716871f1686960 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 96 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.